Evidence map›Paper›PMID 31481044›Full record

ArticleBMC public health2019

Effect of national culture on BMI: a multilevel analysis of 53 countries.

Mohd Masood, Akash Aggarwal, Daniel D Reidpath

Abstract read
In one paragraph

Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Exploring the perceptions of Chinese adults toward overweight and obesity: A systematic literature review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Pooled it
  2. Trial
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  6. Review
  7. Observational
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  10. Longitudinal Study on the Effect of Onboard Service on Seafarers' Health Statuses.International journal of environmental research and public health · 2023
    Article
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  12. Article
  13. Article
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  15. Observational
  16. Article
  17. Article
  18. Determinants of Physical Activity Performed by Young Adults.International journal of environmental research and public health · 2019
    Article
  19. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Mohd MasoodDepartment of Dentistry and Oral Health, La Trobe Rural Health School, La Trobe University, Bendigo, Australia. M.Masood@latrobe.edu.au.ORCID http://orcid.org/0000-0001-8902-0654
Akash AggarwalDepartment of Dentistry and Oral Health, La Trobe Rural Health School, La Trobe University, Bendigo, Australia.
Daniel D ReidpathDepartment of Global Public Health, Jeffery Cheah School of Medicine and Health Science, Monash University, Bandar Sunway, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo investigate the association between national culture and national BMI in 53 low-middle- and high-income countries.

methodsData from World Health Survey conducted in 2002-2004 in low-middle- and high-income countries were used. Participants aged 18 years and over were selected using multistage, stratified cluster sampling. BMI was used as an outcome variable. Culture of the countries was measured using Hofstede's cultural dimensions: Uncertainty avoidance, individualism, Power Distance and masculinity. The potential determinants of individual-level BMI were participants' sex, age, marital status, education, occupation as well as household-wealth and location (rural/urban) at the individual-level. The country-level factors used were average national income (GNI-PPP), income inequality (Gini-index) and Hofstede's cultural dimensions. A two-level random-intercepts and fixed-slopes model structure with individuals nested within countries were fitted, treating BMI as a continuous outcome variable.

resultsA sample of 156,192 people from 53 countries was included in this analysis. The design-based (weighted) mean BMI (SE) in these 53 countries was 23.95(0.08). Uncertainty avoidance (UAI) and individualism (IDV) were significantly associated with BMI, showing that people in more individualistic or high uncertainty avoidance countries had higher BMI than collectivist or low uncertainty avoidance ones. This model explained that one unit increase in UAI or IDV was associated with 0.03 unit increase in BMI. Power distance and masculinity were not associated with BMI of the people. National level Income was also significantly associated with individual-level BMI.

conclusionNational culture has a substantial association with BMI of the individuals in the country. This association is important for understanding the pattern of obesity or overweight across different cultures and countries. It is also important to recognise the importance of the association of culture and BMI in developing public health interventions to reduce obesity or overweight.

Indexed as

Body Mass IndexCross-Cultural ComparisonAdultFemaleGlobal HealthHumansMaleMiddle AgedMultilevel AnalysisObesityBMICultureObesity

Identifiers

PMID31481044
PMCPMC6719355

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.